GitHub is moving its Copilot coding assistant to a usage-based billing model, replacing fixed subscription pricing with consumption-based charges as demand for AI-driven development workloads increases.

The change, announced in a company blog, will take effect on June 1 and will apply to Copilot Pro, Pro+, Business, and Enterprise plans. Under the new model, usage will be measured through “AI credits,” reflecting the compute resources consumed during interactions with the service.

“Today, we are announcing that all GitHub Copilot plans will transition to usage-based billing on June 1, 2026,” Mario Rodriguez, GitHub’s Chief Product Officer, wrote in the blog post. “Instead of counting premium requests, every Copilot plan will include a monthly allotment of GitHub AI Credits, with the option for paid plans to purchase additional usage.”

There will be no change to base subscription prices, and every plan will include a monthly allotment of credits matched to its price, and once that allotment is exhausted, customers can either buy more or stop, the blog post added. Token consumption will be charged at the published API rate of the underlying model.

The change marks the second pricing recalibration for Copilot in less than a year. GitHub introduced premium request limits in June 2025, capping Pro users at 300 monthly premium requests and Enterprise users at 1,000, with overages billed at $0.04 each.

It also follows a week of tactical changes. The company tightened limits on Copilot Free, Pro, Pro+, and Student plans last week and paused self-serve purchases of Copilot Business, framing both as short-term reliability measures while it stood up the new metering infrastructure. Rodriguez said those limits would be loosened once usage-based billing is in effect.

Why GitHub is changing the model

Rodriguez framed the move as a response to how Copilot is being used today, rather than a price increase.

“Copilot is not the same product it was a year ago,” he wrote in the blog. “It has evolved from an in-editor assistant into an agentic platform capable of running long, multi-step coding sessions, using the latest models, and iterating across entire repositories. Agentic usage is becoming the default, and it brings significantly higher compute and inference demands.”

Under the existing premium request unit (PRU) model, a quick chat question and a multi-hour autonomous coding run can cost the user the same amount, the post said.

“GitHub has absorbed much of the escalating inference cost behind that usage, but the current premium request model is no longer sustainable,” Rodriguez wrote. “Usage-based billing fixes that. It better aligns pricing with actual usage, helps us maintain long-term service reliability, and reduces the need to gate heavy users.”

Sanchit Vir Gogia, chief analyst at Greyhound Research, said the sustainability framing was accurate but incomplete. GitHub was managing its own inference cost exposure, he said, and the per-seat model was breaking under agentic workloads at the same time. “The first is the proximate cause. The second is the structural cause of the proximate cause,” Gogia said.

A single developer seat, he added, now contained two very different economic profiles. “A quiet user nudging completions across a normal working day. A power user orchestrating hour-long edits on a frontier model with heavy context. The first costs almost nothing to serve. The second can cost an order of magnitude more, sometimes considerably more than that.”

A market moving to consumption pricing

GitHub is not the first AI coding vendor to pivot to consumption-based pricing. Cursor moved from fixed fast-request allotments to credit pools in June 2025, prompting a public apology and refunds after some users incurred large overages. Anthropic took a similar path with Claude Code, charging on a token basis through its API with capped subscription tiers layered on top. OpenAI followed, moving Codex pricing onto token-based credits.

The shift comes as enterprise AI cost overruns are emerging as a recurring CIO concern. IDC has forecast that the Global 1,000 companies will underestimate their AI infrastructure costs by 30% through 2027, a gap that token-metered tooling will widen rather than narrow.

Gogia said the pricing convergence across vendors was a workload event being expressed through pricing, not a pricing fashion. He warned that better telemetry from vendors would not, on its own, contain the spend. “The dashboards do not lower the bill. The architecture lowers the bill. The dashboards merely describe the bill while it arrives,” he said.

GitHub is keeping its plan prices unchanged across Copilot Pro at $10 a month, Pro+ at $39, Business at $19 per user per month, and Enterprise at $39, with each plan now carrying a monthly pool of AI Credits worth the same amount as the subscription, the post added. GitHub will preview the new bills on customer billing pages from early May, ahead of the June 1 transition.